import numpy as np import numpy.typing as npt i8: np.int64 AR_b: npt.NDArray[np.bool_] AR_u1: npt.NDArray[np.uint8] AR_i8: npt.NDArray[np.int64] AR_f8: npt.NDArray[np.float64] AR_M: npt.NDArray[np.datetime64] M: np.datetime64 AR_LIKE_f: list[float] def func(a: int) -> None: ... np.where(AR_b, 1) # E: No overload variant np.can_cast(AR_f8, 1) # E: incompatible type np.vdot(AR_M, AR_M) # E: incompatible type np.copyto(AR_LIKE_f, AR_f8) # E: incompatible type np.putmask(AR_LIKE_f, [True, True, False], 1.5) # E: incompatible type np.packbits(AR_f8) # E: incompatible type np.packbits(AR_u1, bitorder=">") # E: incompatible type np.unpackbits(AR_i8) # E: incompatible type np.unpackbits(AR_u1, bitorder=">") # E: incompatible type np.shares_memory(1, 1, max_work=i8) # E: incompatible type np.may_share_memory(1, 1, max_work=i8) # E: incompatible type np.arange(M) # E: No overload variant np.arange(stop=10) # E: No overload variant np.datetime_data(int) # E: incompatible type np.busday_offset("2012", 10) # E: No overload variant np.datetime_as_string("2012") # E: No overload variant np.compare_chararrays("a", b"a", "==", False) # E: No overload variant np.add_docstring(func, None) # E: incompatible type np.nested_iters([AR_i8, AR_i8]) # E: Missing positional argument np.nested_iters([AR_i8, AR_i8], 0) # E: incompatible type np.nested_iters([AR_i8, AR_i8], [0]) # E: incompatible type np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["test"]) # E: incompatible type np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["test"]]) # E: incompatible type np.nested_iters([AR_i8, AR_i8], [[0], [1]], buffersize=1.0) # E: incompatible type